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Risk factors and prognostic model for HBV-related subacute liver failure
BACKGROUND: The prognosis for patients with chronic hepatitis B virus (HBV)-related subacute liver failure is poor. Thus, accurate prognostication would facilitate management and optimize liver allocation. This study aimed to explore the risk factors for HBV-related subacute liver failure and establ...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073775/ https://www.ncbi.nlm.nih.gov/pubmed/35530949 http://dx.doi.org/10.21037/atm-22-461 |
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author | Xu, Juan Du, Fenjing Yang, Nan Hou, Jingtao Fan, Yan Liu, Xiaojing |
author_facet | Xu, Juan Du, Fenjing Yang, Nan Hou, Jingtao Fan, Yan Liu, Xiaojing |
author_sort | Xu, Juan |
collection | PubMed |
description | BACKGROUND: The prognosis for patients with chronic hepatitis B virus (HBV)-related subacute liver failure is poor. Thus, accurate prognostication would facilitate management and optimize liver allocation. This study aimed to explore the risk factors for HBV-related subacute liver failure and establish a risk model. METHODS: A total of 192 patients with HBV-related subacute liver failure treated at the First Affiliated Hospital of Xi’an Jiaotong University during January 2018 to January 2019 were selected and divided into the survival group (n=113) and the death group (n=79) based on their status within 6 months. Patient information were collected, including age, sex, body mass index, complications, hepatitis B e antigen (HBeAg), hepatic encephalopathy, hepatorenal syndrome, infections, ascites, HBV-DNA, Model for End-Stage Liver Disease (MELD), liver function tests, international normalized ratio (INR), serum creatinine and total cholesterol. Binary logistic regression was employed to identify risk factors for risk model establishment. The predictive value of the risk model was assessed with a receiver operating characteristic (ROC) curve. RESULTS: Compared with the survival group, the patient age, incidence of hepatic encephalopathy and hepatorenal syndrome, infection and ascites rate, MELD score, and alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), INR, and serum creatinine levels were significantly elevated, whereas the total cholesterol level was significantly decreased in the death group (all P<0.05). Patient age [odds ratio (OR) =1.11, P=0.03], hepatic encephalopathy (OR =8.31, P=0.02), infection (OR =4.27, P=0.005), ascites (OR =4.54, P=0.006), MELD score (OR =1.39, P<0.001), INR (OR =5.89, P=0.001), and total cholesterol (OR =0.31, P=0.002) were identified as prognostic factors affecting patient mortality. Although both the MELD score and the risk model established in the present study could differentiate patient outcomes, the area under the curve (AUC) (0.94 vs. 0.82, P<0.001) and sensitivity (91.1% vs. 58.2%, P<0.001) of the established risk model were significantly higher than those of the MELD score. CONCLUSIONS: Patient age, hepatic encephalopathy, infection, ascites, MELD score, INR, and total cholesterol level were independent prognostic factors. The prognostic model established based on these risk factors may have favorable predictive value. |
format | Online Article Text |
id | pubmed-9073775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-90737752022-05-07 Risk factors and prognostic model for HBV-related subacute liver failure Xu, Juan Du, Fenjing Yang, Nan Hou, Jingtao Fan, Yan Liu, Xiaojing Ann Transl Med Original Article BACKGROUND: The prognosis for patients with chronic hepatitis B virus (HBV)-related subacute liver failure is poor. Thus, accurate prognostication would facilitate management and optimize liver allocation. This study aimed to explore the risk factors for HBV-related subacute liver failure and establish a risk model. METHODS: A total of 192 patients with HBV-related subacute liver failure treated at the First Affiliated Hospital of Xi’an Jiaotong University during January 2018 to January 2019 were selected and divided into the survival group (n=113) and the death group (n=79) based on their status within 6 months. Patient information were collected, including age, sex, body mass index, complications, hepatitis B e antigen (HBeAg), hepatic encephalopathy, hepatorenal syndrome, infections, ascites, HBV-DNA, Model for End-Stage Liver Disease (MELD), liver function tests, international normalized ratio (INR), serum creatinine and total cholesterol. Binary logistic regression was employed to identify risk factors for risk model establishment. The predictive value of the risk model was assessed with a receiver operating characteristic (ROC) curve. RESULTS: Compared with the survival group, the patient age, incidence of hepatic encephalopathy and hepatorenal syndrome, infection and ascites rate, MELD score, and alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), INR, and serum creatinine levels were significantly elevated, whereas the total cholesterol level was significantly decreased in the death group (all P<0.05). Patient age [odds ratio (OR) =1.11, P=0.03], hepatic encephalopathy (OR =8.31, P=0.02), infection (OR =4.27, P=0.005), ascites (OR =4.54, P=0.006), MELD score (OR =1.39, P<0.001), INR (OR =5.89, P=0.001), and total cholesterol (OR =0.31, P=0.002) were identified as prognostic factors affecting patient mortality. Although both the MELD score and the risk model established in the present study could differentiate patient outcomes, the area under the curve (AUC) (0.94 vs. 0.82, P<0.001) and sensitivity (91.1% vs. 58.2%, P<0.001) of the established risk model were significantly higher than those of the MELD score. CONCLUSIONS: Patient age, hepatic encephalopathy, infection, ascites, MELD score, INR, and total cholesterol level were independent prognostic factors. The prognostic model established based on these risk factors may have favorable predictive value. AME Publishing Company 2022-04 /pmc/articles/PMC9073775/ /pubmed/35530949 http://dx.doi.org/10.21037/atm-22-461 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Xu, Juan Du, Fenjing Yang, Nan Hou, Jingtao Fan, Yan Liu, Xiaojing Risk factors and prognostic model for HBV-related subacute liver failure |
title | Risk factors and prognostic model for HBV-related subacute liver failure |
title_full | Risk factors and prognostic model for HBV-related subacute liver failure |
title_fullStr | Risk factors and prognostic model for HBV-related subacute liver failure |
title_full_unstemmed | Risk factors and prognostic model for HBV-related subacute liver failure |
title_short | Risk factors and prognostic model for HBV-related subacute liver failure |
title_sort | risk factors and prognostic model for hbv-related subacute liver failure |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073775/ https://www.ncbi.nlm.nih.gov/pubmed/35530949 http://dx.doi.org/10.21037/atm-22-461 |
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